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Tuesday, 18 August 2009


MobiHeld Session III: Services

Chair: Lakshminarayanan Subramanian (New York University)

Virtual Individual Servers as Privacy-Preserving Proxies for Mobile Devices

Ramón Cáceres (AT&T Labs), Landon Cox (Duke University), Harold Lim (Duke University), Amre Shakimov (Duke University), Alexander Varshavsky (AT&T Labs)

· Main goal: keeping ownership and control of your data

· Idea: each person has its own virtual machine

· People increasingly upload content from their mobile devices to 3rd party services (facebook, twitter, etc.)

· This leads to privacy issues. They focus on 2 issues: 1) these services are centralised (vulnerable to large scale privacy breaches), 2) terms of service often grant provider rights to user data

· Virtual Individual Servers: instead of uploading our info to 3rd party services, upload data to a VIS (a machine the user owns). Individuals maintain rights to their data. Data is distributed across many administrative domains.

· Advantages: privacy, flexibility (my own machine, I can install whatever I like), long term availability, cost scalability

· Disadvantages: management burden (users are bad to manage their machines at home, so managing a virtual machine will be complicated), cost to the individual

· VISs vs. serving data from devices – advantages: resource richness, high availability; disadvantages: requires access to wired infrastructure, need network connection

D^3N: Programming Distributed Computation in Pocket Switched Networks

Eiko Yoneki (University of Cambridge), Ioannis Baltopoulos (University of Cambridge), Jon Crowcroft (University of Cambridge)

· Evolution of mobile networks: a more disconnected network: a path from A to B may exist, but only over time.

· Looking at human to human connectivity

· Use of declarative networking

Apprehending Joule Thieves with Cinder

Stephen M. Rumble (Stanford University), Ryan Stutsman (Stanford University), Phil Levis (Stanford University), David Mazieres (Stanford University), Nickolai Zeldovich (MIT)

· Desktop resource management: if it’s slow, add more resources

· State of mobile devices: complex... and users care about energy and network

· Future of mobile devices: need new OS mechanisms for resource management

· Consider energy as a first class resource: track it, ration it, delegate it.

· They define a “capacitor abstraction” to explain the way they manage the mobile phone energy usage –kind of a leaky bucket concept.

· Capacitors can offer fine grained tracking, rationing and delegation. They easily express real world policies.

Game Action Based Power Management for Multiplayer Online Game

Bhojan Anand (National University of Singapore), A.L. Ananda (National University of Singapore), Mun Choon Chan (National University of Singapore), Rajesh Krishna Balan (Singapore Management University), Le Thanh Long (National University of Singapore)

· Main contribution: game action based resource management

· Black box approach: Lose some packets to save energy; White box approach: reduce number of packets, use some AI to remove redundancy – both baseline approaches failed.

· Application assisted approaches: go to off or deep sleep mode, without reducing quality

· Check Player Activity Level (PAL) – if it’s low, go to sleep mode.

· Can we predict current PAL with the previous PALs? Yep.

· How long can we put the WNIC to sleep? Must find optimum.

· They also looked at the frequency of game actions (shooting, walking, etc.)

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